{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Melissa\Dropbox\Lee Prather\Paper 2 - Public Opinion\analysis 2020.03.09\r&p log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}10 Mar 2020, 14:53:31

{com}. do "C:\Melissa\Dropbox\Lee Prather\Paper 2 - Public Opinion\analysis 2020.03.09\r&p code.do"
{txt}
{com}. * set your working directory here *
. 
. use "rp data.dta", clear
{txt}
{com}. set more off
{txt}
{com}. 
. * Table 1: Patterns of Support for Enforcement (manually transcribe into LaTeX)
. sum punish_statement punish_sanction punish_aid punish_remove redress_pro ///
>         if country == 1 & treatment == 1 // USA mean, control only

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
punish_st~nt {c |}{res}        481    2.981289    .9069542          1          4
{txt}punish_san~n {c |}{res}        480    2.935417    .8584565          1          4
{txt}{space 2}punish_aid {c |}{res}        483    3.047619    .8172222          1          4
{txt}punish_rem~e {c |}{res}        478    2.276151    .9772551          1          4
{txt}{space 1}redress_pro {c |}{res}        483    2.409938    .9410336          1          4
{txt}
{com}. sum punish_statement_support punish_sanction_support punish_aid_support punish_remove_support redress_pro_support ///
>         if country == 1 & treatment == 1 // USA % support, control only

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
punish_st~rt {c |}{res}        481    .7297297    .4445617          0          1
{txt}punish_san~t {c |}{res}        480      .73125    .4437721          0          1
{txt}punish_aid~t {c |}{res}        483    .7639752    .4250779          0          1
{txt}punish_rem~t {c |}{res}        478    .3974895    .4898915          0          1
{txt}redress_pr~t {c |}{res}        483    .4741201    .4998475          0          1
{txt}
{com}. sum punish_statement punish_sanction punish_aid punish_remove redress_pro ///
>         if country == 4 & treatment == 1 // AUS mean, control only

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
punish_st~nt {c |}{res}        527    3.201139     .830364          1          4
{txt}punish_san~n {c |}{res}        526    3.024715    .7960363          1          4
{txt}{space 2}punish_aid {c |}{res}        530    3.022642    .8450102          1          4
{txt}punish_rem~e {c |}{res}        530    2.058491    .9417704          1          4
{txt}{space 1}redress_pro {c |}{res}        530    2.216981    .9141269          1          4
{txt}
{com}. sum punish_statement_support punish_sanction_support punish_aid_support punish_remove_support redress_pro_support ///
>         if country == 4 & treatment == 1 // AUS % support, control only

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
punish_st~rt {c |}{res}        527    .8159393    .3879019          0          1
{txt}punish_san~t {c |}{res}        526    .7756654    .4175405          0          1
{txt}punish_aid~t {c |}{res}        530    .7528302    .4317738          0          1
{txt}punish_rem~t {c |}{res}        530    .3075472    .4619139          0          1
{txt}redress_pr~t {c |}{res}        530    .3716981    .4837149          0          1
{txt}
{com}.         
.         
. * Figure 1: Average Treatment Effect of Elite Justifications
. // United States
. reg enforce i.treatment i.treat_level i.treat_countrypro i.treat_propre if country==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,982
                                                {txt}F(9, 1972)        =  {res}     4.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0183
                                                {txt}Root MSE          =    {res} .64118

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      enforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treatment {c |}
{space 5}Illegal  {c |}{col 15}{res}{space 2} .1143478{col 27}{space 2} .0408154{col 38}{space 1}    2.80{col 47}{space 3}0.005{col 55}{space 4}  .034302{col 68}{space 3} .1943936
{txt}{space 3}Breakdown  {c |}{col 15}{res}{space 2} .1034233{col 27}{space 2} .0407572{col 38}{space 1}    2.54{col 47}{space 3}0.011{col 55}{space 4} .0234915{col 68}{space 3} .1833551
{txt}{space 8}Both  {c |}{col 15}{res}{space 2} .1594247{col 27}{space 2} .0410536{col 38}{space 1}    3.88{col 47}{space 3}0.000{col 55}{space 4} .0789117{col 68}{space 3} .2399377
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0520899{col 27}{space 2} .0351522{col 38}{space 1}    1.48{col 47}{space 3}0.139{col 55}{space 4}-.0168493{col 68}{space 3} .1210292
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1279082{col 27}{space 2} .0353226{col 38}{space 1}    3.62{col 47}{space 3}0.000{col 55}{space 4} .0586347{col 68}{space 3} .1971817
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0662442{col 27}{space 2} .0408897{col 38}{space 1}    1.62{col 47}{space 3}0.105{col 55}{space 4}-.0139473{col 68}{space 3} .1464356
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2}-.0028736{col 27}{space 2} .0408986{col 38}{space 1}   -0.07{col 47}{space 3}0.944{col 55}{space 4}-.0830825{col 68}{space 3} .0773354
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0801977{col 27}{space 2} .0418207{col 38}{space 1}    1.92{col 47}{space 3}0.055{col 55}{space 4}-.0018197{col 68}{space 3} .1622151
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2} .0030064{col 27}{space 2} .0288724{col 38}{space 1}    0.10{col 47}{space 3}0.917{col 55}{space 4}-.0536172{col 68}{space 3}   .05963
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.632768{col 27}{space 2}  .045393{col 38}{space 1}   58.00{col 47}{space 3}0.000{col 55}{space 4} 2.543745{col 68}{space 3} 2.721791
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, asbalanced dydx(treatment)
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}     1,982
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.treatment 3.treatment 4.treatment}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:treatment}{space 7}   {txt:(asbalanced)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:treat_level}{space 5}   {txt:(asbalanced)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:treat_countrypro}   {txt:(asbalanced)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:treat_propre}{space 4}   {txt:(asbalanced)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatment {c |}
{space 4}Illegal  {c |}{col 14}{res}{space 2} .1143478{col 26}{space 2} .0408154{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4}  .034302{col 67}{space 3} .1943936
{txt}{space 2}Breakdown  {c |}{col 14}{res}{space 2} .1034233{col 26}{space 2} .0407572{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .0234915{col 67}{space 3} .1833551
{txt}{space 7}Both  {c |}{col 14}{res}{space 2} .1594247{col 26}{space 2} .0410536{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4} .0789117{col 67}{space 3} .2399377
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. #delimit ;
{txt}delimiter now ;
{com}. marginsplot, horizontal name(usall, replace) 
>         plot1opts(mcolor(black) lcolor(black) connect(none)) 
>         ci1opts(recast(rspike) lcolor(black)) 
>         graphregion(fcolor(white) lcolor(white)) 
>         plotregion(fcolor(white) lstyle(none) lcolor(white) ilstyle(none)) 
>         title("", color(black)) 
>         subtitle("United States", color(black)) 
>         yscale(reverse range(1 4) noline)
>         ylabel(0(1)3 0 "Control" 1 "Illegal" 2 "Breakdown" 3 "Both", noticks labsize(medium) glcolor(gs14) angle(horizontal))
>         ytitle("", margin(medsmall))
>         xline(0, lwidth(vthin) lcolor(black))
>         xtitle("Average treatment effect", margin(medsmall))
>         xscale(range(-0.3 0.3))
>         xlabel(-0.3(.1)0.3,valuelabel labsize(medsmall) glcolor(white) angle(horizontal))
>         addplot(scatteri 0 0, mcolor(black) lcolor(black)
>                 xscale(range(-0.3 0.3))
>                 xlabel(-0.3(.1)0.3, valuelabel labsize(medsmall) glcolor(white) angle(horizontal)))
>         legend(off);

{text}{p 2 6 2}Variables that uniquely identify margins: _deriv{p_end}
{res}{txt}
{com}. #delimit cr;
{txt}delimiter now cr
{com}. 
. 
. // Australia
. reg enforce i.treatment i.treat_level i.treat_countrypro i.treat_propre if country==4, robust

{txt}Linear regression                               Number of obs     = {res}     1,987
                                                {txt}F(9, 1977)        =  {res}     6.46
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0286
                                                {txt}Root MSE          =    {res}  .5883

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      enforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}treatment {c |}
{space 5}Illegal  {c |}{col 15}{res}{space 2} .0812317{col 27}{space 2}   .03739{col 38}{space 1}    2.17{col 47}{space 3}0.030{col 55}{space 4} .0079037{col 68}{space 3} .1545597
{txt}{space 3}Breakdown  {c |}{col 15}{res}{space 2} .0856273{col 27}{space 2} .0363973{col 38}{space 1}    2.35{col 47}{space 3}0.019{col 55}{space 4} .0142462{col 68}{space 3} .1570084
{txt}{space 8}Both  {c |}{col 15}{res}{space 2} .1642522{col 27}{space 2} .0358282{col 38}{space 1}    4.58{col 47}{space 3}0.000{col 55}{space 4} .0939871{col 68}{space 3} .2345172
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0421582{col 27}{space 2} .0326218{col 38}{space 1}    1.29{col 47}{space 3}0.196{col 55}{space 4}-.0218185{col 68}{space 3} .1061348
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1145517{col 27}{space 2} .0321536{col 38}{space 1}    3.56{col 47}{space 3}0.000{col 55}{space 4} .0514933{col 68}{space 3} .1776102
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0793945{col 27}{space 2} .0378655{col 38}{space 1}    2.10{col 47}{space 3}0.036{col 55}{space 4}  .005134{col 68}{space 3} .1536551
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2} .1700158{col 27}{space 2} .0369526{col 38}{space 1}    4.60{col 47}{space 3}0.000{col 55}{space 4} .0975457{col 68}{space 3} .2424858
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0482084{col 27}{space 2} .0368381{col 38}{space 1}    1.31{col 47}{space 3}0.191{col 55}{space 4}-.0240371{col 68}{space 3} .1204539
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2} .0078069{col 27}{space 2} .0264567{col 38}{space 1}    0.30{col 47}{space 3}0.768{col 55}{space 4} -.044079{col 68}{space 3} .0596928
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.583099{col 27}{space 2} .0407469{col 38}{space 1}   63.39{col 47}{space 3}0.000{col 55}{space 4} 2.503187{col 68}{space 3}  2.66301
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, asbalanced dydx(treatment)
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}     1,987
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:2.treatment 3.treatment 4.treatment}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:treatment}{space 7}   {txt:(asbalanced)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:treat_level}{space 5}   {txt:(asbalanced)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:treat_countrypro}   {txt:(asbalanced)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:treat_propre}{space 4}   {txt:(asbalanced)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatment {c |}
{space 4}Illegal  {c |}{col 14}{res}{space 2} .0812317{col 26}{space 2}   .03739{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0079037{col 67}{space 3} .1545597
{txt}{space 2}Breakdown  {c |}{col 14}{res}{space 2} .0856273{col 26}{space 2} .0363973{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0142462{col 67}{space 3} .1570084
{txt}{space 7}Both  {c |}{col 14}{res}{space 2} .1642522{col 26}{space 2} .0358282{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .0939871{col 67}{space 3} .2345172
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. #delimit ;
{txt}delimiter now ;
{com}. marginsplot, horizontal name(ausall, replace) 
>         plot1opts(mcolor(black) lcolor(black) connect(none)) 
>         ci1opts(recast(rspike) lcolor(black)) 
>         graphregion(fcolor(white) lcolor(white)) 
>         plotregion(fcolor(white) lstyle(none) lcolor(white) ilstyle(none)) 
>         title("", color(black)) 
>         subtitle("Australia", color(black)) 
>         yscale(reverse range(1 4) noline)
>         ylabel(0(1)3 0 "Control" 1 "Illegal" 2 "Breakdown" 3 "Both", noticks labsize(medium) glcolor(gs14) angle(horizontal))
>         ytitle("", margin(medsmall))
>         xline(0, lwidth(vthin) lcolor(black))
>         xtitle("Average treatment effect", margin(medsmall))
>         xscale(range(-0.3 0.3))
>         xlabel(-0.3(.1)0.3,valuelabel labsize(medsmall) glcolor(white) angle(horizontal))
>         addplot(scatteri 0 0, mcolor(black) lcolor(black)
>                 xscale(range(-0.3 0.3))
>                 xlabel(-0.3(.1)0.3, valuelabel labsize(medsmall) glcolor(white) angle(horizontal)))
>         legend(off);

{text}{p 2 6 2}Variables that uniquely identify margins: _deriv{p_end}
{res}{txt}
{com}. #delimit cr;
{txt}delimiter now cr
{com}. 
. 
. // Combine
. graph combine usall ausall, name(combined, replace) xcommon ///
>         graphregion(fcolor(white) lwidth(thick) lcolor(white)) row(1) xsize(10)scale(1.75)
{res}{txt}
{com}. graph export "rp_figure_1.png", replace
{txt}(file rp_figure_1.png written in PNG format)

{com}. 
. 
. * Table 2 and Table A2: Individual Correlates of Support for Military and Non-Military Enforcement Actions
. eststo clear
{txt}
{com}. 
. eststo mil1: reg index_hard leftright enforcer2 relimp woman age child usa_educ employed_full i.treatment i.treat_countrypro i.treat_level i.treat_propre if country==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,991
                                                {txt}F(17, 1973)       =  {res}    20.13
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1369
                                                {txt}Root MSE          =    {res} .84196

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   index_hard{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}leftright {c |}{col 15}{res}{space 2} .0247451{col 27}{space 2} .0088984{col 38}{space 1}    2.78{col 47}{space 3}0.005{col 55}{space 4} .0072939{col 68}{space 3} .0421963
{txt}{space 4}enforcer2 {c |}{col 15}{res}{space 2} .1871219{col 27}{space 2} .0383136{col 38}{space 1}    4.88{col 47}{space 3}0.000{col 55}{space 4} .1119826{col 68}{space 3} .2622613
{txt}{space 7}relimp {c |}{col 15}{res}{space 2}   .13217{col 27}{space 2}  .019188{col 38}{space 1}    6.89{col 47}{space 3}0.000{col 55}{space 4} .0945392{col 68}{space 3} .1698009
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.1358813{col 27}{space 2} .0392661{col 38}{space 1}   -3.46{col 47}{space 3}0.001{col 55}{space 4}-.2128886{col 68}{space 3}-.0588739
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0172696{col 27}{space 2} .0014862{col 38}{space 1}  -11.62{col 47}{space 3}0.000{col 55}{space 4}-.0201844{col 68}{space 3}-.0143549
{txt}{space 8}child {c |}{col 15}{res}{space 2} .1687429{col 27}{space 2} .0416675{col 38}{space 1}    4.05{col 47}{space 3}0.000{col 55}{space 4}  .087026{col 68}{space 3} .2504598
{txt}{space 5}usa_educ {c |}{col 15}{res}{space 2}-.0397318{col 27}{space 2} .0183004{col 38}{space 1}   -2.17{col 47}{space 3}0.030{col 55}{space 4}-.0756219{col 68}{space 3}-.0038417
{txt}employed_full {c |}{col 15}{res}{space 2} .0672039{col 27}{space 2} .0402761{col 38}{space 1}    1.67{col 47}{space 3}0.095{col 55}{space 4}-.0117843{col 68}{space 3} .1461921
{txt}{space 13} {c |}
{space 4}treatment {c |}
{space 5}Illegal  {c |}{col 15}{res}{space 2}  .051781{col 27}{space 2} .0534228{col 38}{space 1}    0.97{col 47}{space 3}0.333{col 55}{space 4}  -.05299{col 68}{space 3}  .156552
{txt}{space 3}Breakdown  {c |}{col 15}{res}{space 2} .0792711{col 27}{space 2}  .054578{col 38}{space 1}    1.45{col 47}{space 3}0.147{col 55}{space 4}-.0277655{col 68}{space 3} .1863076
{txt}{space 8}Both  {c |}{col 15}{res}{space 2}  .148499{col 27}{space 2} .0533552{col 38}{space 1}    2.78{col 47}{space 3}0.005{col 55}{space 4} .0438605{col 68}{space 3} .2531374
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0899708{col 27}{space 2} .0529025{col 38}{space 1}    1.70{col 47}{space 3}0.089{col 55}{space 4}-.0137798{col 68}{space 3} .1937214
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2}-.0294279{col 27}{space 2} .0534284{col 38}{space 1}   -0.55{col 47}{space 3}0.582{col 55}{space 4}  -.13421{col 68}{space 3} .0753541
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .1218287{col 27}{space 2}  .053935{col 38}{space 1}    2.26{col 47}{space 3}0.024{col 55}{space 4} .0160532{col 68}{space 3} .2276042
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0301045{col 27}{space 2} .0464569{col 38}{space 1}    0.65{col 47}{space 3}0.517{col 55}{space 4}-.0610053{col 68}{space 3} .1212144
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1234399{col 27}{space 2} .0457287{col 38}{space 1}    2.70{col 47}{space 3}0.007{col 55}{space 4} .0337582{col 68}{space 3} .2131216
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2}-.0083874{col 27}{space 2} .0379277{col 38}{space 1}   -0.22{col 47}{space 3}0.825{col 55}{space 4}-.0827701{col 68}{space 3} .0659952
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}   2.4179{col 27}{space 2} .1270781{col 38}{space 1}   19.03{col 47}{space 3}0.000{col 55}{space 4} 2.168679{col 68}{space 3} 2.667121
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estadd local controls "Yes" 

{txt}added macro:
           e(controls) : "{res:Yes}"

{com}. 
. eststo mil2: reg index_soft leftright enforcer2 relimp woman age child usa_educ employed_full i.treatment i.treat_countrypro i.treat_level i.treat_propre if country==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,976
                                                {txt}F(17, 1958)       =  {res}    13.90
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0978
                                                {txt}Root MSE          =    {res} .69066

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   index_soft{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}leftright {c |}{col 15}{res}{space 2}  .013572{col 27}{space 2} .0072503{col 38}{space 1}    1.87{col 47}{space 3}0.061{col 55}{space 4}-.0006471{col 68}{space 3}  .027791
{txt}{space 4}enforcer2 {c |}{col 15}{res}{space 2} .1280559{col 27}{space 2} .0323936{col 38}{space 1}    3.95{col 47}{space 3}0.000{col 55}{space 4} .0645263{col 68}{space 3} .1915856
{txt}{space 7}relimp {c |}{col 15}{res}{space 2} .0189712{col 27}{space 2} .0159972{col 38}{space 1}    1.19{col 47}{space 3}0.236{col 55}{space 4}-.0124021{col 68}{space 3} .0503444
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.1827561{col 27}{space 2} .0326267{col 38}{space 1}   -5.60{col 47}{space 3}0.000{col 55}{space 4}-.2467427{col 68}{space 3}-.1187694
{txt}{space 10}age {c |}{col 15}{res}{space 2} .0068466{col 27}{space 2}  .001226{col 38}{space 1}    5.58{col 47}{space 3}0.000{col 55}{space 4} .0044421{col 68}{space 3} .0092511
{txt}{space 8}child {c |}{col 15}{res}{space 2} .0585399{col 27}{space 2} .0346666{col 38}{space 1}    1.69{col 47}{space 3}0.091{col 55}{space 4}-.0094474{col 68}{space 3} .1265273
{txt}{space 5}usa_educ {c |}{col 15}{res}{space 2} .0860137{col 27}{space 2} .0155404{col 38}{space 1}    5.53{col 47}{space 3}0.000{col 55}{space 4} .0555363{col 68}{space 3} .1164911
{txt}employed_full {c |}{col 15}{res}{space 2} .0676549{col 27}{space 2} .0331955{col 38}{space 1}    2.04{col 47}{space 3}0.042{col 55}{space 4} .0025528{col 68}{space 3} .1327571
{txt}{space 13} {c |}
{space 4}treatment {c |}
{space 5}Illegal  {c |}{col 15}{res}{space 2}  .155372{col 27}{space 2} .0441797{col 38}{space 1}    3.52{col 47}{space 3}0.000{col 55}{space 4} .0687278{col 68}{space 3} .2420163
{txt}{space 3}Breakdown  {c |}{col 15}{res}{space 2} .1168813{col 27}{space 2} .0440952{col 38}{space 1}    2.65{col 47}{space 3}0.008{col 55}{space 4} .0304028{col 68}{space 3} .2033599
{txt}{space 8}Both  {c |}{col 15}{res}{space 2} .1443358{col 27}{space 2} .0440773{col 38}{space 1}    3.27{col 47}{space 3}0.001{col 55}{space 4} .0578924{col 68}{space 3} .2307791
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0139179{col 27}{space 2}  .043742{col 38}{space 1}    0.32{col 47}{space 3}0.750{col 55}{space 4} -.071868{col 68}{space 3} .0997037
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2} .0063396{col 27}{space 2} .0452271{col 38}{space 1}    0.14{col 47}{space 3}0.889{col 55}{space 4}-.0823588{col 68}{space 3} .0950379
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0416683{col 27}{space 2}  .045438{col 38}{space 1}    0.92{col 47}{space 3}0.359{col 55}{space 4}-.0474437{col 68}{space 3} .1307803
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0483679{col 27}{space 2} .0379177{col 38}{space 1}    1.28{col 47}{space 3}0.202{col 55}{space 4}-.0259954{col 68}{space 3} .1227312
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1100526{col 27}{space 2}  .038699{col 38}{space 1}    2.84{col 47}{space 3}0.005{col 55}{space 4}  .034157{col 68}{space 3} .1859483
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2}-.0059851{col 27}{space 2} .0314064{col 38}{space 1}   -0.19{col 47}{space 3}0.849{col 55}{space 4}-.0675786{col 68}{space 3} .0556085
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.100651{col 27}{space 2} .1063395{col 38}{space 1}   19.75{col 47}{space 3}0.000{col 55}{space 4} 1.892101{col 68}{space 3} 2.309202
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estadd local controls "Yes" 

{txt}added macro:
           e(controls) : "{res:Yes}"

{com}. 
. eststo mil3: reg index_hard leftright enforcer2 relimp woman age child aus_educ employed_full i.treatment i.treat_countrypro i.treat_level i.treat_propre if country==4, robust

{txt}Linear regression                               Number of obs     = {res}     1,989
                                                {txt}F(17, 1971)       =  {res}    22.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1449
                                                {txt}Root MSE          =    {res} .81586

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   index_hard{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}leftright {c |}{col 15}{res}{space 2} .0323297{col 27}{space 2} .0113567{col 38}{space 1}    2.85{col 47}{space 3}0.004{col 55}{space 4} .0100573{col 68}{space 3} .0546022
{txt}{space 4}enforcer2 {c |}{col 15}{res}{space 2} .1231085{col 27}{space 2} .0371688{col 38}{space 1}    3.31{col 47}{space 3}0.001{col 55}{space 4} .0502141{col 68}{space 3} .1960028
{txt}{space 7}relimp {c |}{col 15}{res}{space 2} .1137269{col 27}{space 2} .0175983{col 38}{space 1}    6.46{col 47}{space 3}0.000{col 55}{space 4} .0792137{col 68}{space 3} .1482402
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.0158832{col 27}{space 2}  .038452{col 38}{space 1}   -0.41{col 47}{space 3}0.680{col 55}{space 4}-.0912939{col 68}{space 3} .0595276
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0189979{col 27}{space 2} .0014296{col 38}{space 1}  -13.29{col 47}{space 3}0.000{col 55}{space 4}-.0218016{col 68}{space 3}-.0161941
{txt}{space 8}child {c |}{col 15}{res}{space 2} .0755502{col 27}{space 2} .0409937{col 38}{space 1}    1.84{col 47}{space 3}0.065{col 55}{space 4}-.0048454{col 68}{space 3} .1559458
{txt}{space 5}aus_educ {c |}{col 15}{res}{space 2}-.0522778{col 27}{space 2} .0086532{col 38}{space 1}   -6.04{col 47}{space 3}0.000{col 55}{space 4}-.0692481{col 68}{space 3}-.0353074
{txt}employed_full {c |}{col 15}{res}{space 2} .0370477{col 27}{space 2}   .04016{col 38}{space 1}    0.92{col 47}{space 3}0.356{col 55}{space 4}-.0417128{col 68}{space 3} .1158081
{txt}{space 13} {c |}
{space 4}treatment {c |}
{space 5}Illegal  {c |}{col 15}{res}{space 2} .0900693{col 27}{space 2} .0517076{col 38}{space 1}    1.74{col 47}{space 3}0.082{col 55}{space 4} -.011338{col 68}{space 3} .1914765
{txt}{space 3}Breakdown  {c |}{col 15}{res}{space 2} .1479875{col 27}{space 2} .0518328{col 38}{space 1}    2.86{col 47}{space 3}0.004{col 55}{space 4} .0463345{col 68}{space 3} .2496404
{txt}{space 8}Both  {c |}{col 15}{res}{space 2} .1920769{col 27}{space 2} .0503762{col 38}{space 1}    3.81{col 47}{space 3}0.000{col 55}{space 4} .0932806{col 68}{space 3} .2908731
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .1610383{col 27}{space 2} .0516424{col 38}{space 1}    3.12{col 47}{space 3}0.002{col 55}{space 4} .0597589{col 68}{space 3} .2623177
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2} .2444502{col 27}{space 2}  .050585{col 38}{space 1}    4.83{col 47}{space 3}0.000{col 55}{space 4} .1452446{col 68}{space 3} .3436558
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0923905{col 27}{space 2} .0520558{col 38}{space 1}    1.77{col 47}{space 3}0.076{col 55}{space 4}-.0096996{col 68}{space 3} .1944806
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0447896{col 27}{space 2} .0445588{col 38}{space 1}    1.01{col 47}{space 3}0.315{col 55}{space 4}-.0425976{col 68}{space 3} .1321769
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1276262{col 27}{space 2} .0452896{col 38}{space 1}    2.82{col 47}{space 3}0.005{col 55}{space 4} .0388056{col 68}{space 3} .2164467
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2} .0193537{col 27}{space 2} .0366762{col 38}{space 1}    0.53{col 47}{space 3}0.598{col 55}{space 4}-.0525744{col 68}{space 3} .0912819
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  2.46104{col 27}{space 2}  .117377{col 38}{space 1}   20.97{col 47}{space 3}0.000{col 55}{space 4} 2.230844{col 68}{space 3} 2.691236
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estadd local controls "Yes" 

{txt}added macro:
           e(controls) : "{res:Yes}"

{com}. 
. eststo mil4: reg index_soft leftright enforcer2 relimp woman age child aus_educ employed_full i.treatment i.treat_countrypro i.treat_level i.treat_propre if country==4, robust

{txt}Linear regression                               Number of obs     = {res}     1,975
                                                {txt}F(17, 1957)       =  {res}    15.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1003
                                                {txt}Root MSE          =    {res} .65843

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}   index_soft{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}leftright {c |}{col 15}{res}{space 2} .0138313{col 27}{space 2} .0086284{col 38}{space 1}    1.60{col 47}{space 3}0.109{col 55}{space 4}-.0030905{col 68}{space 3} .0307532
{txt}{space 4}enforcer2 {c |}{col 15}{res}{space 2} .1246122{col 27}{space 2} .0302398{col 38}{space 1}    4.12{col 47}{space 3}0.000{col 55}{space 4} .0653065{col 68}{space 3} .1839178
{txt}{space 7}relimp {c |}{col 15}{res}{space 2}-.0013714{col 27}{space 2} .0142678{col 38}{space 1}   -0.10{col 47}{space 3}0.923{col 55}{space 4}-.0293532{col 68}{space 3} .0266103
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.1405034{col 27}{space 2} .0313873{col 38}{space 1}   -4.48{col 47}{space 3}0.000{col 55}{space 4}-.2020594{col 68}{space 3}-.0789474
{txt}{space 10}age {c |}{col 15}{res}{space 2} .0100693{col 27}{space 2} .0011474{col 38}{space 1}    8.78{col 47}{space 3}0.000{col 55}{space 4}  .007819{col 68}{space 3} .0123196
{txt}{space 8}child {c |}{col 15}{res}{space 2} .0721862{col 27}{space 2} .0333576{col 38}{space 1}    2.16{col 47}{space 3}0.031{col 55}{space 4}  .006766{col 68}{space 3} .1376064
{txt}{space 5}aus_educ {c |}{col 15}{res}{space 2} .0159925{col 27}{space 2} .0071124{col 38}{space 1}    2.25{col 47}{space 3}0.025{col 55}{space 4} .0020437{col 68}{space 3} .0299413
{txt}employed_full {c |}{col 15}{res}{space 2} .0216481{col 27}{space 2} .0323756{col 38}{space 1}    0.67{col 47}{space 3}0.504{col 55}{space 4}-.0418462{col 68}{space 3} .0851424
{txt}{space 13} {c |}
{space 4}treatment {c |}
{space 5}Illegal  {c |}{col 15}{res}{space 2}  .050184{col 27}{space 2}  .042029{col 38}{space 1}    1.19{col 47}{space 3}0.233{col 55}{space 4}-.0322424{col 68}{space 3} .1326104
{txt}{space 3}Breakdown  {c |}{col 15}{res}{space 2} .0426823{col 27}{space 2} .0414072{col 38}{space 1}    1.03{col 47}{space 3}0.303{col 55}{space 4}-.0385245{col 68}{space 3} .1238891
{txt}{space 8}Both  {c |}{col 15}{res}{space 2}  .146728{col 27}{space 2} .0408974{col 38}{space 1}    3.59{col 47}{space 3}0.000{col 55}{space 4} .0665209{col 68}{space 3} .2269351
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0273096{col 27}{space 2} .0443167{col 38}{space 1}    0.62{col 47}{space 3}0.538{col 55}{space 4}-.0596034{col 68}{space 3} .1142226
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2} .1156621{col 27}{space 2} .0415133{col 38}{space 1}    2.79{col 47}{space 3}0.005{col 55}{space 4} .0342471{col 68}{space 3} .1970771
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0230895{col 27}{space 2} .0413189{col 38}{space 1}    0.56{col 47}{space 3}0.576{col 55}{space 4}-.0579441{col 68}{space 3} .1041231
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0259513{col 27}{space 2} .0368976{col 38}{space 1}    0.70{col 47}{space 3}0.482{col 55}{space 4}-.0464115{col 68}{space 3} .0983141
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1221786{col 27}{space 2} .0364816{col 38}{space 1}    3.35{col 47}{space 3}0.001{col 55}{space 4} .0506317{col 68}{space 3} .1937255
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2}  .005701{col 27}{space 2} .0296974{col 38}{space 1}    0.19{col 47}{space 3}0.848{col 55}{space 4}-.0525408{col 68}{space 3} .0639429
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  2.36526{col 27}{space 2} .0980015{col 38}{space 1}   24.13{col 47}{space 3}0.000{col 55}{space 4} 2.173062{col 68}{space 3} 2.557458
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estadd local controls "Yes" 

{txt}added macro:
           e(controls) : "{res:Yes}"

{com}. 
. esttab mil* using "rp_table_2.tex", replace ///
>         drop(relimp woman age child usa_educ aus_educ employed_full *.treatment *.treat_countrypro *.treat_level *.treat_propre)  ///
>         se star(* 0.10 ** 0.05 *** 0.01) r2 b(%8.2f) se(%8.2f) r2(%8.2f)  ///
>         scalars("controls Controls" "controls Controls" "controls Controls" "controls Controls") ///
>         mtitle("\shortstack{c -(}\textbf{c -(}United States{c )-}\\Military{c )-}" "\shortstack{c -(}\textbf{c -(}United States{c )-}\\Non-Military{c )-}" "\shortstack{c -(}\textbf{c -(}Australia{c )-}\\Military{c )-}" "\shortstack{c -(}\textbf{c -(}Australia{c )-}\\Non-Military{c )-}") ///
>         nonotes nonum nogaps ///
>         tex label compress 
{res}{txt}(output written to {browse  `"rp_table_2.tex"'})

{com}.         
. esttab mil* using "rp_table_a2.tex", replace ///
>         drop(*.treatment *.treat_countrypro *.treat_level *.treat_propre)  ///
>         se star(* 0.10 ** 0.05 *** 0.01) r2 b(%8.2f) se(%8.2f) r2(%8.2f)  ///
>         mtitle("\shortstack{c -(}\textbf{c -(}United States{c )-}\\Military{c )-}" "\shortstack{c -(}\textbf{c -(}United States{c )-}\\Non-Military{c )-}" "\shortstack{c -(}\textbf{c -(}Australia{c )-}\\Military{c )-}" "\shortstack{c -(}\textbf{c -(}Australia{c )-}\\Non-Military{c )-}") ///
>         nonotes nonum nogaps rename(aus_educ usa_educ)  ///
>         tex label compress 
{res}{txt}(output written to {browse  `"rp_table_a2.tex"'})

{com}.         
. 
. * Table A3: Individual Correlates of Support for Enforcement Actions
. eststo enf_ind_usa: reg enforce leftright enforcer2 relimp woman age child usa_educ employed_full i.treatment i.treat_countrypro i.treat_level i.treat_propre if country==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,968
                                                {txt}F(17, 1950)       =  {res}    13.76
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0989
                                                {txt}Root MSE          =    {res} .61384

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      enforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}leftright {c |}{col 15}{res}{space 2}  .018414{col 27}{space 2} .0065335{col 38}{space 1}    2.82{col 47}{space 3}0.005{col 55}{space 4} .0056006{col 68}{space 3} .0312275
{txt}{space 4}enforcer2 {c |}{col 15}{res}{space 2} .1515858{col 27}{space 2} .0285139{col 38}{space 1}    5.32{col 47}{space 3}0.000{col 55}{space 4} .0956648{col 68}{space 3} .2075067
{txt}{space 7}relimp {c |}{col 15}{res}{space 2} .0636217{col 27}{space 2} .0143967{col 38}{space 1}    4.42{col 47}{space 3}0.000{col 55}{space 4} .0353872{col 68}{space 3} .0918562
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.1639741{col 27}{space 2} .0289905{col 38}{space 1}   -5.66{col 47}{space 3}0.000{col 55}{space 4}-.2208297{col 68}{space 3}-.1071185
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0027918{col 27}{space 2} .0010861{col 38}{space 1}   -2.57{col 47}{space 3}0.010{col 55}{space 4}-.0049219{col 68}{space 3}-.0006618
{txt}{space 8}child {c |}{col 15}{res}{space 2} .1026678{col 27}{space 2} .0309125{col 38}{space 1}    3.32{col 47}{space 3}0.001{col 55}{space 4} .0420429{col 68}{space 3} .1632927
{txt}{space 5}usa_educ {c |}{col 15}{res}{space 2} .0356977{col 27}{space 2} .0138546{col 38}{space 1}    2.58{col 47}{space 3}0.010{col 55}{space 4} .0085264{col 68}{space 3} .0628691
{txt}employed_full {c |}{col 15}{res}{space 2} .0701503{col 27}{space 2}   .02964{col 38}{space 1}    2.37{col 47}{space 3}0.018{col 55}{space 4} .0120208{col 68}{space 3} .1282798
{txt}{space 13} {c |}
{space 4}treatment {c |}
{space 5}Illegal  {c |}{col 15}{res}{space 2} .1133339{col 27}{space 2} .0389104{col 38}{space 1}    2.91{col 47}{space 3}0.004{col 55}{space 4} .0370236{col 68}{space 3} .1896443
{txt}{space 3}Breakdown  {c |}{col 15}{res}{space 2} .0996936{col 27}{space 2} .0394436{col 38}{space 1}    2.53{col 47}{space 3}0.012{col 55}{space 4} .0223375{col 68}{space 3} .1770496
{txt}{space 8}Both  {c |}{col 15}{res}{space 2} .1484234{col 27}{space 2} .0392696{col 38}{space 1}    3.78{col 47}{space 3}0.000{col 55}{space 4} .0714086{col 68}{space 3} .2254382
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0463241{col 27}{space 2}  .039156{col 38}{space 1}    1.18{col 47}{space 3}0.237{col 55}{space 4} -.030468{col 68}{space 3} .1231161
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2}-.0049944{col 27}{space 2} .0393065{col 38}{space 1}   -0.13{col 47}{space 3}0.899{col 55}{space 4}-.0820815{col 68}{space 3} .0720927
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0768141{col 27}{space 2} .0405823{col 38}{space 1}    1.89{col 47}{space 3}0.059{col 55}{space 4}-.0027751{col 68}{space 3} .1564033
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0403471{col 27}{space 2} .0336594{col 38}{space 1}    1.20{col 47}{space 3}0.231{col 55}{space 4} -.025665{col 68}{space 3} .1063593
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1140317{col 27}{space 2} .0340611{col 38}{space 1}    3.35{col 47}{space 3}0.001{col 55}{space 4} .0472317{col 68}{space 3} .1808318
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2}-.0057604{col 27}{space 2} .0279574{col 38}{space 1}   -0.21{col 47}{space 3}0.837{col 55}{space 4}-.0605899{col 68}{space 3} .0490691
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.222206{col 27}{space 2} .0967141{col 38}{space 1}   22.98{col 47}{space 3}0.000{col 55}{space 4} 2.032532{col 68}{space 3}  2.41188
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo enf_ind_aus: reg enforce leftright enforcer2 relimp woman age child aus_educ employed_full i.treatment i.treat_countrypro i.treat_level i.treat_propre if country==4, robust

{txt}Linear regression                               Number of obs     = {res}     1,970
                                                {txt}F(17, 1952)       =  {res}     8.72
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0681
                                                {txt}Root MSE          =    {res} .57872

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      enforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}leftright {c |}{col 15}{res}{space 2} .0205914{col 27}{space 2}  .007847{col 38}{space 1}    2.62{col 47}{space 3}0.009{col 55}{space 4}  .005202{col 68}{space 3} .0359809
{txt}{space 4}enforcer2 {c |}{col 15}{res}{space 2} .1226664{col 27}{space 2} .0265616{col 38}{space 1}    4.62{col 47}{space 3}0.000{col 55}{space 4} .0705743{col 68}{space 3} .1747585
{txt}{space 7}relimp {c |}{col 15}{res}{space 2} .0446242{col 27}{space 2} .0127057{col 38}{space 1}    3.51{col 47}{space 3}0.000{col 55}{space 4}  .019706{col 68}{space 3} .0695424
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.0893526{col 27}{space 2} .0275722{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-.1434267{col 68}{space 3}-.0352784
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0015064{col 27}{space 2} .0010114{col 38}{space 1}   -1.49{col 47}{space 3}0.137{col 55}{space 4}  -.00349{col 68}{space 3} .0004772
{txt}{space 8}child {c |}{col 15}{res}{space 2} .0721507{col 27}{space 2} .0295128{col 38}{space 1}    2.44{col 47}{space 3}0.015{col 55}{space 4} .0142708{col 68}{space 3} .1300306
{txt}{space 5}aus_educ {c |}{col 15}{res}{space 2} -.011484{col 27}{space 2} .0061823{col 38}{space 1}   -1.86{col 47}{space 3}0.063{col 55}{space 4}-.0236086{col 68}{space 3} .0006406
{txt}employed_full {c |}{col 15}{res}{space 2} .0283922{col 27}{space 2} .0285336{col 38}{space 1}    1.00{col 47}{space 3}0.320{col 55}{space 4}-.0275673{col 68}{space 3} .0843518
{txt}{space 13} {c |}
{space 4}treatment {c |}
{space 5}Illegal  {c |}{col 15}{res}{space 2} .0646784{col 27}{space 2} .0369091{col 38}{space 1}    1.75{col 47}{space 3}0.080{col 55}{space 4}-.0077071{col 68}{space 3} .1370638
{txt}{space 3}Breakdown  {c |}{col 15}{res}{space 2} .0811459{col 27}{space 2}   .03588{col 38}{space 1}    2.26{col 47}{space 3}0.024{col 55}{space 4} .0107788{col 68}{space 3}  .151513
{txt}{space 8}Both  {c |}{col 15}{res}{space 2} .1590789{col 27}{space 2} .0357529{col 38}{space 1}    4.45{col 47}{space 3}0.000{col 55}{space 4} .0889611{col 68}{space 3} .2291967
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0801068{col 27}{space 2} .0375092{col 38}{space 1}    2.14{col 47}{space 3}0.033{col 55}{space 4} .0065445{col 68}{space 3} .1536691
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2} .1690116{col 27}{space 2} .0367183{col 38}{space 1}    4.60{col 47}{space 3}0.000{col 55}{space 4} .0970004{col 68}{space 3} .2410228
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0501553{col 27}{space 2}  .036353{col 38}{space 1}    1.38{col 47}{space 3}0.168{col 55}{space 4}-.0211395{col 68}{space 3} .1214501
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0330364{col 27}{space 2} .0322458{col 38}{space 1}    1.02{col 47}{space 3}0.306{col 55}{space 4}-.0302034{col 68}{space 3} .0962762
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1232361{col 27}{space 2}   .03183{col 38}{space 1}    3.87{col 47}{space 3}0.000{col 55}{space 4} .0608117{col 68}{space 3} .1856605
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2} .0133704{col 27}{space 2} .0261312{col 38}{space 1}    0.51{col 47}{space 3}0.609{col 55}{space 4}-.0378777{col 68}{space 3} .0646185
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.408671{col 27}{space 2} .0854103{col 38}{space 1}   28.20{col 47}{space 3}0.000{col 55}{space 4} 2.241166{col 68}{space 3} 2.576176
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. esttab enf_ind* using "rp_table_a3.tex", replace ///
>         drop(*.treatment *.treat_countrypro *.treat_level *.treat_propre)  ///
>         se star(* 0.10 ** 0.05 *** 0.01) r2 b(%8.2f) se(%8.2f) r2(%8.2f)  ///
>         mtitle("\shortstack{c -(}\textbf{c -(}United States{c )-}\\Military{c )-}" "\shortstack{c -(}\textbf{c -(}United States{c )-}\\Non-Military{c )-}" "\shortstack{c -(}\textbf{c -(}Australia{c )-}\\Military{c )-}" "\shortstack{c -(}\textbf{c -(}Australia{c )-}\\Non-Military{c )-}") ///
>         nonotes nonum nogaps rename(aus_educ usa_educ)  ///
>         tex label compress 
{res}{txt}(output written to {browse  `"rp_table_a3.tex"'})

{com}.         
.         
. * Table A4: Interaction Between Ideology and the Illegal Treatment
. eststo iii1: reg enforce enforcer2 c.leftright##treat_lawdum treat_breakdum treat_bothdum relimp woman age ///
>         child usa_educ employed_full i.treat_countrypro i.treat_level i.treat_propre if country==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,968
                                                {txt}F(18, 1949)       =  {res}    13.02
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0991
                                                {txt}Root MSE          =    {res} .61392

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      enforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}enforcer2 {c |}{col 15}{res}{space 2} .1511747{col 27}{space 2} .0285319{col 38}{space 1}    5.30{col 47}{space 3}0.000{col 55}{space 4} .0952184{col 68}{space 3}  .207131
{txt}{space 4}leftright {c |}{col 15}{res}{space 2} .0207509{col 27}{space 2} .0072997{col 38}{space 1}    2.84{col 47}{space 3}0.005{col 55}{space 4} .0064348{col 68}{space 3}  .035067
{txt}1.treat_law~m {c |}{col 15}{res}{space 2} .1708461{col 27}{space 2} .0945679{col 38}{space 1}    1.81{col 47}{space 3}0.071{col 55}{space 4}-.0146187{col 68}{space 3} .3563109
{txt}{space 13} {c |}
{space 1}treat_lawdum#{c |}
{space 2}c.leftright {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.0093282{col 27}{space 2} .0139972{col 38}{space 1}   -0.67{col 47}{space 3}0.505{col 55}{space 4}-.0367792{col 68}{space 3} .0181228
{txt}{space 13} {c |}
treat_break~m {c |}{col 15}{res}{space 2} .0988164{col 27}{space 2} .0394634{col 38}{space 1}    2.50{col 47}{space 3}0.012{col 55}{space 4} .0214214{col 68}{space 3} .1762114
{txt}treat_bothdum {c |}{col 15}{res}{space 2} .1482525{col 27}{space 2} .0392635{col 38}{space 1}    3.78{col 47}{space 3}0.000{col 55}{space 4} .0712497{col 68}{space 3} .2252553
{txt}{space 7}relimp {c |}{col 15}{res}{space 2} .0637751{col 27}{space 2}  .014418{col 38}{space 1}    4.42{col 47}{space 3}0.000{col 55}{space 4} .0354988{col 68}{space 3} .0920515
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.1644436{col 27}{space 2} .0289774{col 38}{space 1}   -5.67{col 47}{space 3}0.000{col 55}{space 4}-.2212736{col 68}{space 3}-.1076135
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0028265{col 27}{space 2} .0010877{col 38}{space 1}   -2.60{col 47}{space 3}0.009{col 55}{space 4}-.0049596{col 68}{space 3}-.0006933
{txt}{space 8}child {c |}{col 15}{res}{space 2}  .103225{col 27}{space 2} .0308864{col 38}{space 1}    3.34{col 47}{space 3}0.001{col 55}{space 4} .0426512{col 68}{space 3} .1637988
{txt}{space 5}usa_educ {c |}{col 15}{res}{space 2} .0355827{col 27}{space 2} .0138636{col 38}{space 1}    2.57{col 47}{space 3}0.010{col 55}{space 4} .0083936{col 68}{space 3} .0627719
{txt}employed_full {c |}{col 15}{res}{space 2} .0709799{col 27}{space 2} .0296977{col 38}{space 1}    2.39{col 47}{space 3}0.017{col 55}{space 4} .0127372{col 68}{space 3} .1292226
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0461487{col 27}{space 2} .0391538{col 38}{space 1}    1.18{col 47}{space 3}0.239{col 55}{space 4} -.030639{col 68}{space 3} .1229363
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2}-.0051265{col 27}{space 2} .0393185{col 38}{space 1}   -0.13{col 47}{space 3}0.896{col 55}{space 4}-.0822371{col 68}{space 3} .0719842
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0772321{col 27}{space 2} .0405844{col 38}{space 1}    1.90{col 47}{space 3}0.057{col 55}{space 4}-.0023613{col 68}{space 3} .1568254
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0404168{col 27}{space 2} .0336847{col 38}{space 1}    1.20{col 47}{space 3}0.230{col 55}{space 4} -.025645{col 68}{space 3} .1064786
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1133661{col 27}{space 2} .0340494{col 38}{space 1}    3.33{col 47}{space 3}0.001{col 55}{space 4} .0465891{col 68}{space 3} .1801431
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2}-.0062584{col 27}{space 2} .0279622{col 38}{space 1}   -0.22{col 47}{space 3}0.823{col 55}{space 4}-.0610974{col 68}{space 3} .0485806
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}  2.20953{col 27}{space 2} .0991714{col 38}{space 1}   22.28{col 47}{space 3}0.000{col 55}{space 4} 2.015037{col 68}{space 3} 2.404023
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estadd local controls "Yes" 

{txt}added macro:
           e(controls) : "{res:Yes}"

{com}. 
. eststo iii2: reg enforce enforcer2 c.leftright##treat_lawdum treat_breakdum treat_bothdum relimp woman age ///
>         child aus_educ employed_full i.treat_countrypro i.treat_level i.treat_propre if country==4, robust

{txt}Linear regression                               Number of obs     = {res}     1,970
                                                {txt}F(18, 1951)       =  {res}     8.28
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0685
                                                {txt}Root MSE          =    {res} .57876

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      enforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}enforcer2 {c |}{col 15}{res}{space 2}  .122317{col 27}{space 2} .0265707{col 38}{space 1}    4.60{col 47}{space 3}0.000{col 55}{space 4}  .070207{col 68}{space 3} .1744269
{txt}{space 4}leftright {c |}{col 15}{res}{space 2} .0169624{col 27}{space 2} .0090066{col 38}{space 1}    1.88{col 47}{space 3}0.060{col 55}{space 4} -.000701{col 68}{space 3} .0346259
{txt}1.treat_law~m {c |}{col 15}{res}{space 2}-.0172328{col 27}{space 2} .1083871{col 38}{space 1}   -0.16{col 47}{space 3}0.874{col 55}{space 4}-.2297995{col 68}{space 3} .1953338
{txt}{space 13} {c |}
{space 1}treat_lawdum#{c |}
{space 2}c.leftright {c |}
{space 11}1  {c |}{col 15}{res}{space 2} .0137643{col 27}{space 2} .0173933{col 38}{space 1}    0.79{col 47}{space 3}0.429{col 55}{space 4}-.0203471{col 68}{space 3} .0478758
{txt}{space 13} {c |}
treat_break~m {c |}{col 15}{res}{space 2} .0810825{col 27}{space 2} .0358798{col 38}{space 1}    2.26{col 47}{space 3}0.024{col 55}{space 4} .0107156{col 68}{space 3} .1514493
{txt}treat_bothdum {c |}{col 15}{res}{space 2} .1590133{col 27}{space 2} .0357651{col 38}{space 1}    4.45{col 47}{space 3}0.000{col 55}{space 4} .0888715{col 68}{space 3}  .229155
{txt}{space 7}relimp {c |}{col 15}{res}{space 2} .0448101{col 27}{space 2} .0126936{col 38}{space 1}    3.53{col 47}{space 3}0.000{col 55}{space 4} .0199157{col 68}{space 3} .0697045
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.0896301{col 27}{space 2}  .027573{col 38}{space 1}   -3.25{col 47}{space 3}0.001{col 55}{space 4}-.1437058{col 68}{space 3}-.0355544
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0014353{col 27}{space 2} .0010118{col 38}{space 1}   -1.42{col 47}{space 3}0.156{col 55}{space 4}-.0034195{col 68}{space 3}  .000549
{txt}{space 8}child {c |}{col 15}{res}{space 2} .0712411{col 27}{space 2} .0294882{col 38}{space 1}    2.42{col 47}{space 3}0.016{col 55}{space 4} .0134094{col 68}{space 3} .1290729
{txt}{space 5}aus_educ {c |}{col 15}{res}{space 2} -.011626{col 27}{space 2} .0061756{col 38}{space 1}   -1.88{col 47}{space 3}0.060{col 55}{space 4}-.0237374{col 68}{space 3} .0004855
{txt}employed_full {c |}{col 15}{res}{space 2} .0288483{col 27}{space 2} .0285493{col 38}{space 1}    1.01{col 47}{space 3}0.312{col 55}{space 4}-.0271421{col 68}{space 3} .0848386
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0803553{col 27}{space 2} .0375001{col 38}{space 1}    2.14{col 47}{space 3}0.032{col 55}{space 4} .0068109{col 68}{space 3} .1538996
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2} .1693892{col 27}{space 2} .0367582{col 38}{space 1}    4.61{col 47}{space 3}0.000{col 55}{space 4} .0972996{col 68}{space 3} .2414788
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0505641{col 27}{space 2} .0363734{col 38}{space 1}    1.39{col 47}{space 3}0.165{col 55}{space 4}-.0207707{col 68}{space 3} .1218989
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0338341{col 27}{space 2} .0322283{col 38}{space 1}    1.05{col 47}{space 3}0.294{col 55}{space 4}-.0293714{col 68}{space 3} .0970396
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1236781{col 27}{space 2} .0318187{col 38}{space 1}    3.89{col 47}{space 3}0.000{col 55}{space 4} .0612758{col 68}{space 3} .1860803
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2} .0128672{col 27}{space 2} .0261523{col 38}{space 1}    0.49{col 47}{space 3}0.623{col 55}{space 4}-.0384222{col 68}{space 3} .0641567
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.427558{col 27}{space 2} .0883364{col 38}{space 1}   27.48{col 47}{space 3}0.000{col 55}{space 4} 2.254314{col 68}{space 3} 2.600801
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estadd local controls "Yes" 

{txt}added macro:
           e(controls) : "{res:Yes}"

{com}.         
. esttab iii* using "rp_table_a4.tex", replace ///
>         drop(0.treat* relimp woman age child usa_educ employed_full *.treat_countrypro *.treat_level *.treat_propre )  ///
>         se star(* 0.10 ** 0.05 *** 0.01) r2 b(%8.2f) se(%8.2f) r2(%8.2f)  ///
>         scalars("controls Controls" "controls Controls") ///
>         mtitle("\textbf{c -(}United States{c )-}" "\textbf{c -(}Australia{c )-}") ///
>         coeflabel(1.treat_lawdum#c.leftright "Ideology*Illegal" ///
>                 1.treat_lawdum "Illegal Treatment" treat_breakdum "Breakdown Treatment" treat_bothdum "Both Treatments") ///
>         nonotes nonum nogaps rename(aus_educ usa_educ)  ///
>         tex label compress 
{res}{txt}(output written to {browse  `"rp_table_a4.tex"'})

{com}.         
.         
. * Table A5: Interaction Between Ideology and the Breakdown Treatment
. eststo iib1: reg enforce enforcer2 c.leftright##treat_breakdum treat_lawdum treat_bothdum relimp woman age ///
>         child usa_educ employed_full i.treat_countrypro i.treat_level i.treat_propre if country==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,968
                                                {txt}F(18, 1949)       =  {res}    13.01
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0989
                                                {txt}Root MSE          =    {res} .61399

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      enforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}enforcer2 {c |}{col 15}{res}{space 2}  .151404{col 27}{space 2} .0285538{col 38}{space 1}    5.30{col 47}{space 3}0.000{col 55}{space 4} .0954048{col 68}{space 3} .2074032
{txt}{space 4}leftright {c |}{col 15}{res}{space 2} .0190339{col 27}{space 2} .0074509{col 38}{space 1}    2.55{col 47}{space 3}0.011{col 55}{space 4} .0044214{col 68}{space 3} .0336465
{txt}1.treat_bre~m {c |}{col 15}{res}{space 2} .1177006{col 27}{space 2} .0966825{col 38}{space 1}    1.22{col 47}{space 3}0.224{col 55}{space 4}-.0719114{col 68}{space 3} .3073125
{txt}{space 13} {c |}
treat_break~m#{c |}
{space 2}c.leftright {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.0028136{col 27}{space 2} .0134894{col 38}{space 1}   -0.21{col 47}{space 3}0.835{col 55}{space 4}-.0292687{col 68}{space 3} .0236416
{txt}{space 13} {c |}
{space 1}treat_lawdum {c |}{col 15}{res}{space 2} .1133102{col 27}{space 2} .0389183{col 38}{space 1}    2.91{col 47}{space 3}0.004{col 55}{space 4} .0369844{col 68}{space 3}  .189636
{txt}treat_bothdum {c |}{col 15}{res}{space 2} .1484012{col 27}{space 2} .0392725{col 38}{space 1}    3.78{col 47}{space 3}0.000{col 55}{space 4} .0713807{col 68}{space 3} .2254217
{txt}{space 7}relimp {c |}{col 15}{res}{space 2} .0636749{col 27}{space 2} .0143888{col 38}{space 1}    4.43{col 47}{space 3}0.000{col 55}{space 4} .0354558{col 68}{space 3}  .091894
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.1641675{col 27}{space 2} .0290432{col 38}{space 1}   -5.65{col 47}{space 3}0.000{col 55}{space 4}-.2211266{col 68}{space 3}-.1072085
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0027897{col 27}{space 2} .0010865{col 38}{space 1}   -2.57{col 47}{space 3}0.010{col 55}{space 4}-.0049206{col 68}{space 3}-.0006589
{txt}{space 8}child {c |}{col 15}{res}{space 2}   .10263{col 27}{space 2} .0309219{col 38}{space 1}    3.32{col 47}{space 3}0.001{col 55}{space 4} .0419865{col 68}{space 3} .1632734
{txt}{space 5}usa_educ {c |}{col 15}{res}{space 2} .0357606{col 27}{space 2} .0138776{col 38}{space 1}    2.58{col 47}{space 3}0.010{col 55}{space 4} .0085441{col 68}{space 3}  .062977
{txt}employed_full {c |}{col 15}{res}{space 2} .0700971{col 27}{space 2} .0296645{col 38}{space 1}    2.36{col 47}{space 3}0.018{col 55}{space 4} .0119196{col 68}{space 3} .1282747
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0461896{col 27}{space 2} .0391867{col 38}{space 1}    1.18{col 47}{space 3}0.239{col 55}{space 4}-.0306627{col 68}{space 3} .1230419
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2}-.0048594{col 27}{space 2} .0393098{col 38}{space 1}   -0.12{col 47}{space 3}0.902{col 55}{space 4} -.081953{col 68}{space 3} .0722342
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0768402{col 27}{space 2} .0405834{col 38}{space 1}    1.89{col 47}{space 3}0.058{col 55}{space 4}-.0027513{col 68}{space 3} .1564317
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0403691{col 27}{space 2} .0336746{col 38}{space 1}    1.20{col 47}{space 3}0.231{col 55}{space 4}-.0256729{col 68}{space 3} .1064112
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1140035{col 27}{space 2} .0340705{col 38}{space 1}    3.35{col 47}{space 3}0.001{col 55}{space 4}  .047185{col 68}{space 3}  .180822
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2}-.0058619{col 27}{space 2} .0279495{col 38}{space 1}   -0.21{col 47}{space 3}0.834{col 55}{space 4}-.0606759{col 68}{space 3} .0489521
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.218195{col 27}{space 2} .0999302{col 38}{space 1}   22.20{col 47}{space 3}0.000{col 55}{space 4} 2.022213{col 68}{space 3} 2.414176
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estadd local controls "Yes" 

{txt}added macro:
           e(controls) : "{res:Yes}"

{com}. 
. eststo iib2: reg enforce enforcer2 c.leftright##treat_breakdum treat_lawdum treat_bothdum relimp woman age ///
>         child aus_educ employed_full i.treat_countrypro i.treat_level i.treat_propre if country==4, robust

{txt}Linear regression                               Number of obs     = {res}     1,970
                                                {txt}F(18, 1951)       =  {res}     8.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0689
                                                {txt}Root MSE          =    {res} .57864

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      enforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}enforcer2 {c |}{col 15}{res}{space 2} .1225261{col 27}{space 2} .0265673{col 38}{space 1}    4.61{col 47}{space 3}0.000{col 55}{space 4} .0704227{col 68}{space 3} .1746294
{txt}{space 4}leftright {c |}{col 15}{res}{space 2} .0258318{col 27}{space 2} .0089722{col 38}{space 1}    2.88{col 47}{space 3}0.004{col 55}{space 4} .0082357{col 68}{space 3} .0434279
{txt}1.treat_bre~m {c |}{col 15}{res}{space 2} .2012437{col 27}{space 2} .1079865{col 38}{space 1}    1.86{col 47}{space 3}0.063{col 55}{space 4}-.0105373{col 68}{space 3} .4130247
{txt}{space 13} {c |}
treat_break~m#{c |}
{space 2}c.leftright {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.0201141{col 27}{space 2} .0174816{col 38}{space 1}   -1.15{col 47}{space 3}0.250{col 55}{space 4}-.0543987{col 68}{space 3} .0141706
{txt}{space 13} {c |}
{space 1}treat_lawdum {c |}{col 15}{res}{space 2} .0647804{col 27}{space 2} .0369108{col 38}{space 1}    1.76{col 47}{space 3}0.079{col 55}{space 4}-.0076084{col 68}{space 3} .1371692
{txt}treat_bothdum {c |}{col 15}{res}{space 2} .1592467{col 27}{space 2} .0357566{col 38}{space 1}    4.45{col 47}{space 3}0.000{col 55}{space 4} .0891215{col 68}{space 3} .2293718
{txt}{space 7}relimp {c |}{col 15}{res}{space 2} .0443177{col 27}{space 2} .0127024{col 38}{space 1}    3.49{col 47}{space 3}0.000{col 55}{space 4}  .019406{col 68}{space 3} .0692294
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.0892703{col 27}{space 2} .0275559{col 38}{space 1}   -3.24{col 47}{space 3}0.001{col 55}{space 4}-.1433123{col 68}{space 3}-.0352282
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0014862{col 27}{space 2} .0010109{col 38}{space 1}   -1.47{col 47}{space 3}0.142{col 55}{space 4}-.0034689{col 68}{space 3} .0004964
{txt}{space 8}child {c |}{col 15}{res}{space 2} .0724546{col 27}{space 2} .0295215{col 38}{space 1}    2.45{col 47}{space 3}0.014{col 55}{space 4} .0145576{col 68}{space 3} .1303515
{txt}{space 5}aus_educ {c |}{col 15}{res}{space 2}-.0116128{col 27}{space 2}  .006179{col 38}{space 1}   -1.88{col 47}{space 3}0.060{col 55}{space 4} -.023731{col 68}{space 3} .0005055
{txt}employed_full {c |}{col 15}{res}{space 2} .0292013{col 27}{space 2}  .028566{col 38}{space 1}    1.02{col 47}{space 3}0.307{col 55}{space 4}-.0268219{col 68}{space 3} .0852245
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0800358{col 27}{space 2} .0374615{col 38}{space 1}    2.14{col 47}{space 3}0.033{col 55}{space 4}  .006567{col 68}{space 3} .1535046
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2} .1692516{col 27}{space 2} .0367613{col 38}{space 1}    4.60{col 47}{space 3}0.000{col 55}{space 4} .0971561{col 68}{space 3}  .241347
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0491844{col 27}{space 2} .0364015{col 38}{space 1}    1.35{col 47}{space 3}0.177{col 55}{space 4}-.0222056{col 68}{space 3} .1205743
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2}  .031284{col 27}{space 2} .0322836{col 38}{space 1}    0.97{col 47}{space 3}0.333{col 55}{space 4}  -.03203{col 68}{space 3} .0945981
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1238133{col 27}{space 2} .0318309{col 38}{space 1}    3.89{col 47}{space 3}0.000{col 55}{space 4} .0613871{col 68}{space 3} .1862394
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2} .0138486{col 27}{space 2} .0261199{col 38}{space 1}    0.53{col 47}{space 3}0.596{col 55}{space 4}-.0373773{col 68}{space 3} .0650744
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.377511{col 27}{space 2} .0883096{col 38}{space 1}   26.92{col 47}{space 3}0.000{col 55}{space 4}  2.20432{col 68}{space 3} 2.550702
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estadd local controls "Yes" 

{txt}added macro:
           e(controls) : "{res:Yes}"

{com}. 
. esttab iib* using "rp_table_a5.tex", replace ///
>         drop(0.treat* relimp woman age child usa_educ employed_full *.treat_countrypro *.treat_level *.treat_propre )  ///
>         se star(* 0.10 ** 0.05 *** 0.01) r2 b(%8.2f) se(%8.2f) r2(%8.2f)  ///
>         scalars("controls Controls" "controls Controls") ///
>         mtitle("\textbf{c -(}United States{c )-}" "\textbf{c -(}Australia{c )-}") ///
>         coeflabel(1.treat_breakdum#c.leftright "Ideology*Breakdown" ///
>                 treat_lawdum "Illegal Treatment" 1.treat_breakdum "Breakdown Treatment" treat_bothdum "Both Treatments") ///
>         nonotes nonum nogaps rename(aus_educ usa_educ)  ///
>         tex label compress 
{res}{txt}(output written to {browse  `"rp_table_a5.tex"'})

{com}.         
. 
. * Table A6: Interaction Between Interpersonal Norm Enforcement and Elite Justifications
. eststo iej1: reg enforce enforcer2##i.treatment relimp woman age leftright ///
>         child usa_educ employed_full i.treat_countrypro i.treat_level i.treat_propre if country==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,968
                                                {txt}F(20, 1947)       =  {res}    11.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0998
                                                {txt}Root MSE          =    {res} .61402

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      enforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}enforcer2 {c |}
{space 9}yes  {c |}{col 15}{res}{space 2}  .183549{col 27}{space 2} .0551262{col 38}{space 1}    3.33{col 47}{space 3}0.001{col 55}{space 4} .0754364{col 68}{space 3} .2916615
{txt}{space 13} {c |}
{space 4}treatment {c |}
{space 5}Illegal  {c |}{col 15}{res}{space 2} .1318456{col 27}{space 2} .0542226{col 38}{space 1}    2.43{col 47}{space 3}0.015{col 55}{space 4} .0255051{col 68}{space 3} .2381862
{txt}{space 3}Breakdown  {c |}{col 15}{res}{space 2}  .149895{col 27}{space 2} .0550934{col 38}{space 1}    2.72{col 47}{space 3}0.007{col 55}{space 4} .0418467{col 68}{space 3} .2579434
{txt}{space 8}Both  {c |}{col 15}{res}{space 2} .1469522{col 27}{space 2} .0584642{col 38}{space 1}    2.51{col 47}{space 3}0.012{col 55}{space 4} .0322933{col 68}{space 3} .2616111
{txt}{space 13} {c |}
{space 4}enforcer2#{c |}
{space 4}treatment {c |}
{space 1}yes#Illegal  {c |}{col 15}{res}{space 2}-.0342119{col 27}{space 2} .0775829{col 38}{space 1}   -0.44{col 47}{space 3}0.659{col 55}{space 4}-.1863662{col 68}{space 3} .1179424
{txt}{space 9}yes #{c |}
{space 3}Breakdown  {c |}{col 15}{res}{space 2} -.094357{col 27}{space 2} .0784782{col 38}{space 1}   -1.20{col 47}{space 3}0.229{col 55}{space 4} -.248267{col 68}{space 3} .0595531
{txt}{space 4}yes#Both  {c |}{col 15}{res}{space 2}-.0003237{col 27}{space 2} .0789436{col 38}{space 1}   -0.00{col 47}{space 3}0.997{col 55}{space 4}-.1551464{col 68}{space 3} .1544991
{txt}{space 13} {c |}
{space 7}relimp {c |}{col 15}{res}{space 2} .0638042{col 27}{space 2}  .014385{col 38}{space 1}    4.44{col 47}{space 3}0.000{col 55}{space 4} .0355926{col 68}{space 3} .0920158
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.1632641{col 27}{space 2} .0290167{col 38}{space 1}   -5.63{col 47}{space 3}0.000{col 55}{space 4}-.2201712{col 68}{space 3}-.1063569
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0027811{col 27}{space 2} .0010894{col 38}{space 1}   -2.55{col 47}{space 3}0.011{col 55}{space 4}-.0049177{col 68}{space 3}-.0006446
{txt}{space 4}leftright {c |}{col 15}{res}{space 2} .0180459{col 27}{space 2} .0065316{col 38}{space 1}    2.76{col 47}{space 3}0.006{col 55}{space 4} .0052362{col 68}{space 3} .0308556
{txt}{space 8}child {c |}{col 15}{res}{space 2} .1020508{col 27}{space 2} .0309929{col 38}{space 1}    3.29{col 47}{space 3}0.001{col 55}{space 4} .0412681{col 68}{space 3} .1628336
{txt}{space 5}usa_educ {c |}{col 15}{res}{space 2} .0363822{col 27}{space 2} .0138586{col 38}{space 1}    2.63{col 47}{space 3}0.009{col 55}{space 4} .0092029{col 68}{space 3} .0635614
{txt}employed_full {c |}{col 15}{res}{space 2} .0693386{col 27}{space 2} .0296645{col 38}{space 1}    2.34{col 47}{space 3}0.020{col 55}{space 4} .0111611{col 68}{space 3}  .127516
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2} .0470538{col 27}{space 2} .0392508{col 38}{space 1}    1.20{col 47}{space 3}0.231{col 55}{space 4}-.0299242{col 68}{space 3} .1240318
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2}-.0031782{col 27}{space 2} .0393896{col 38}{space 1}   -0.08{col 47}{space 3}0.936{col 55}{space 4}-.0804285{col 68}{space 3} .0740721
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0770128{col 27}{space 2} .0406397{col 38}{space 1}    1.90{col 47}{space 3}0.058{col 55}{space 4}-.0026891{col 68}{space 3} .1567148
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0396857{col 27}{space 2} .0336484{col 38}{space 1}    1.18{col 47}{space 3}0.238{col 55}{space 4} -.026305{col 68}{space 3} .1056764
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1131378{col 27}{space 2} .0341261{col 38}{space 1}    3.32{col 47}{space 3}0.001{col 55}{space 4} .0462102{col 68}{space 3} .1800654
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2}-.0080826{col 27}{space 2} .0280035{col 38}{space 1}   -0.29{col 47}{space 3}0.773{col 55}{space 4}-.0630025{col 68}{space 3} .0468374
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.204841{col 27}{space 2} .0984778{col 38}{space 1}   22.39{col 47}{space 3}0.000{col 55}{space 4} 2.011708{col 68}{space 3} 2.397974
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estadd local controls "Yes" 

{txt}added macro:
           e(controls) : "{res:Yes}"

{com}. 
. eststo iej2: reg enforce enforcer2##i.treatment relimp woman age leftright ///
>         child aus_educ employed_full i.treat_countrypro i.treat_level i.treat_propre if country==4, robust

{txt}Linear regression                               Number of obs     = {res}     1,970
                                                {txt}F(20, 1949)       =  {res}     7.46
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0690
                                                {txt}Root MSE          =    {res}  .5789

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}      enforce{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}enforcer2 {c |}
{space 9}yes  {c |}{col 15}{res}{space 2} .1041254{col 27}{space 2} .0487966{col 38}{space 1}    2.13{col 47}{space 3}0.033{col 55}{space 4} .0084265{col 68}{space 3} .1998243
{txt}{space 13} {c |}
{space 4}treatment {c |}
{space 5}Illegal  {c |}{col 15}{res}{space 2} .0341226{col 27}{space 2}  .051869{col 38}{space 1}    0.66{col 47}{space 3}0.511{col 55}{space 4}-.0676019{col 68}{space 3} .1358471
{txt}{space 3}Breakdown  {c |}{col 15}{res}{space 2} .0578041{col 27}{space 2} .0507657{col 38}{space 1}    1.14{col 47}{space 3}0.255{col 55}{space 4}-.0417566{col 68}{space 3} .1573649
{txt}{space 8}Both  {c |}{col 15}{res}{space 2} .1733253{col 27}{space 2} .0504449{col 38}{space 1}    3.44{col 47}{space 3}0.001{col 55}{space 4} .0743938{col 68}{space 3} .2722569
{txt}{space 13} {c |}
{space 4}enforcer2#{c |}
{space 4}treatment {c |}
{space 1}yes#Illegal  {c |}{col 15}{res}{space 2} .0595387{col 27}{space 2} .0739386{col 38}{space 1}    0.81{col 47}{space 3}0.421{col 55}{space 4}-.0854684{col 68}{space 3} .2045457
{txt}{space 9}yes #{c |}
{space 3}Breakdown  {c |}{col 15}{res}{space 2} .0467576{col 27}{space 2} .0722141{col 38}{space 1}    0.65{col 47}{space 3}0.517{col 55}{space 4}-.0948673{col 68}{space 3} .1883825
{txt}{space 4}yes#Both  {c |}{col 15}{res}{space 2}-.0270229{col 27}{space 2} .0717862{col 38}{space 1}   -0.38{col 47}{space 3}0.707{col 55}{space 4}-.1678088{col 68}{space 3} .1137629
{txt}{space 13} {c |}
{space 7}relimp {c |}{col 15}{res}{space 2} .0449494{col 27}{space 2} .0126984{col 38}{space 1}    3.54{col 47}{space 3}0.000{col 55}{space 4} .0200456{col 68}{space 3} .0698532
{txt}{space 8}woman {c |}{col 15}{res}{space 2}-.0889011{col 27}{space 2}  .027641{col 38}{space 1}   -3.22{col 47}{space 3}0.001{col 55}{space 4}-.1431101{col 68}{space 3}-.0346921
{txt}{space 10}age {c |}{col 15}{res}{space 2}-.0014599{col 27}{space 2}  .001013{col 38}{space 1}   -1.44{col 47}{space 3}0.150{col 55}{space 4}-.0034467{col 68}{space 3} .0005269
{txt}{space 4}leftright {c |}{col 15}{res}{space 2} .0204911{col 27}{space 2} .0078513{col 38}{space 1}    2.61{col 47}{space 3}0.009{col 55}{space 4} .0050933{col 68}{space 3} .0358889
{txt}{space 8}child {c |}{col 15}{res}{space 2} .0723474{col 27}{space 2} .0295333{col 38}{space 1}    2.45{col 47}{space 3}0.014{col 55}{space 4} .0144273{col 68}{space 3} .1302676
{txt}{space 5}aus_educ {c |}{col 15}{res}{space 2}-.0113373{col 27}{space 2} .0061909{col 38}{space 1}   -1.83{col 47}{space 3}0.067{col 55}{space 4}-.0234787{col 68}{space 3} .0008041
{txt}employed_full {c |}{col 15}{res}{space 2} .0278497{col 27}{space 2} .0285667{col 38}{space 1}    0.97{col 47}{space 3}0.330{col 55}{space 4}-.0281749{col 68}{space 3} .0838743
{txt}{space 13} {c |}
treat_count~o {c |}
Mali/Burki..  {c |}{col 15}{res}{space 2}  .079991{col 27}{space 2} .0374954{col 38}{space 1}    2.13{col 47}{space 3}0.033{col 55}{space 4} .0064556{col 68}{space 3} .1535263
{txt}Indonesia/~a  {c |}{col 15}{res}{space 2} .1675933{col 27}{space 2} .0368356{col 38}{space 1}    4.55{col 47}{space 3}0.000{col 55}{space 4} .0953519{col 68}{space 3} .2398347
{txt}{space 2}Oman/Yemen  {c |}{col 15}{res}{space 2} .0504676{col 27}{space 2} .0364628{col 38}{space 1}    1.38{col 47}{space 3}0.166{col 55}{space 4}-.0210425{col 68}{space 3} .1219778
{txt}{space 13} {c |}
{space 2}treat_level {c |}
a large part  {c |}{col 15}{res}{space 2} .0319679{col 27}{space 2} .0322816{col 38}{space 1}    0.99{col 47}{space 3}0.322{col 55}{space 4}-.0313421{col 68}{space 3}  .095278
{txt}{space 9}all  {c |}{col 15}{res}{space 2} .1230299{col 27}{space 2} .0318852{col 38}{space 1}    3.86{col 47}{space 3}0.000{col 55}{space 4} .0604973{col 68}{space 3} .1855626
{txt}{space 13} {c |}
{space 1}treat_propre {c |}
proscripti..  {c |}{col 15}{res}{space 2} .0146236{col 27}{space 2} .0262398{col 38}{space 1}    0.56{col 47}{space 3}0.577{col 55}{space 4}-.0368373{col 68}{space 3} .0660846
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} 2.414946{col 27}{space 2} .0859539{col 38}{space 1}   28.10{col 47}{space 3}0.000{col 55}{space 4} 2.246375{col 68}{space 3} 2.583517
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estadd local controls "Yes" 

{txt}added macro:
           e(controls) : "{res:Yes}"

{com}. 
. esttab iej* using "rp_table_a6.tex", replace ///
>         drop(0.enforcer2* 1.treatment 1.enforcer2#1.treatment relimp woman age child usa_educ employed_full *.treat_countrypro *.treat_level *.treat_propre )  ///
>         se star(* 0.10 ** 0.05 *** 0.01) r2 b(%8.2f) se(%8.2f) r2(%8.2f)  ///
>         scalars("controls Controls" "controls Controls") ///
>         mtitle("\textbf{c -(}United States{c )-}" "\textbf{c -(}Australia{c )-}") ///
>         coeflabel(1.enforcer2 "Interpersonal" ///
>                 2.treatment "Illegal Treatment" 3.treatment "Breakdown Treatment" 4.treatment "Both Treatments" ///
>                 1.enforcer2#2.treatment "Interpersonal*Illegal" 1.enforcer2#3.treatment "Interpersonal*Breakdown" ///
>                 1.enforcer2#4.treatment "Interpersonal*Both") ///
>         nonotes nonum nogaps rename(aus_educ usa_educ)  ///
>         tex label compress 
{res}{txt}(output written to {browse  `"rp_table_a6.tex"'})

{com}.         
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Melissa\Dropbox\Lee Prather\Paper 2 - Public Opinion\analysis 2020.03.09\r&p log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}10 Mar 2020, 14:53:52
{txt}{.-}
{smcl}
{txt}{sf}{ul off}